World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
44
Citations
8947
World Ranking
1592
National Ranking
37

Overview

Kyongsu Yi is affiliated with Seoul National University in South Korea. Their research primarily focuses on engineering, with a significant concentration in automotive and control systems fields. They have contributed to the advancement of autonomous vehicle technology and control methodologies.

The main fields of study for Kyongsu Yi include:

  • Engineering

The notable subfields of their work are:

  • Automotive Engineering
  • Control and Systems Engineering
  • Mechanical Engineering
  • Computer Vision and Pattern Recognition
  • Civil and Structural Engineering

Kyongsu Yi's research topics cover a variety of areas related to vehicle technology and control systems:

  • Vehicle Dynamics and Control Systems
  • Autonomous Vehicle Technology and Safety
  • Mechanical Engineering and Vibrations Research
  • Traffic Control and Management
  • Electric and Hybrid Vehicle Technologies
  • Hydraulic and Pneumatic Systems
  • Robotic Path Planning Algorithms

Kyongsu Yi has published extensively across several venues, with frequent contributions in:

  • IEEE Access
  • Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
  • SAE Technical Papers
  • Journal of Auto-vehicle Safety Association
  • IEEE Transactions on Intelligent Transportation Systems

Their recent papers illustrate a focus on autonomous vehicle control, motion prediction, and safety:

  • Surround Vehicle Motion Prediction Using LSTM-RNN for Motion Planning of Autonomous Vehicles at Multi-Lane Turn Intersections, 2020, IEEE Open Journal of Intelligent Transportation Systems
  • Interaction-Aware Probabilistic Trajectory Prediction of Cut-In Vehicles Using Gaussian Process for Proactive Control of Autonomous Vehicles, 2021, IEEE Access
  • A new control approach for automated drifting in consideration of the driving characteristics of an expert human driver, 2020, Control Engineering Practice
  • Moving Object Detection and Tracking Based on Interaction of Static Obstacle Map and Geometric Model-Free Approach for Urban Autonomous Driving, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Trajectory Planning and Control of Autonomous Vehicles for Static Vehicle Avoidance in Dynamic Traffic Environments, 2023, IEEE Access

Frequent collaborators with Kyongsu Yi include:

  • Hyunsoo Cha
  • Youngmin Yoon
  • Jong-Min Lee
  • Jae-Yong Park
  • Eunhyek Joa

Best Publications

  • Design, tuning, and evaluation of a full-range adaptive cruise control system with collision avoidance

    Seungwuk Moon;Ilki Moon;Kyongsu Yi

  • Human driving data-based design of a vehicle adaptive cruise control algorithm

    Seungwuk Moon;Kyongsu Yi

  • Real-time slip-based estimation of maximum tire-road friction coefficient

    Chankyu Lee;K. Hedrick;Kyongsu Yi

  • Estimation of Tire Forces for Application to Vehicle Stability Control

    Wanki Cho;Jangyeol Yoon;Seongjin Yim;Bongyeong Koo

  • Driving Control Algorithm for Maneuverability, Lateral Stability, and Rollover Prevention of 4WD Electric Vehicles With Independently Driven Front and Rear Wheels

    Juyong Kang;Jinho Yoo;Kyongsu Yi

  • Estimation of Tire-Road Friction Using Observer Based Identifiers

    Kyongsu Yi;Karl Hedrick;Seong-Chul Lee

  • Tire-Road Friction-Coefficient Estimation

    Rajesh Rajamani;Damrongrit Piyabongkarn;Jae Y Lew;Kyongsu Yi

  • Design and evaluation of side slip angle-based vehicle stability control scheme on a virtual test track

    Taeyoung Chung;Kyongsu Yi

  • An investigation into unified chassis control scheme for optimised vehicle stability and manoeuvrability

    Wanki Cho;Jangyeol Yoon;Jeongtae Kim;Jaewoong Hur

  • A vehicle control algorithm for stop-and-go cruise control

    K Yi;J Hong;Y. D. Kwon

  • Stochastic Model-Predictive Control for Lane Change Decision of Automated Driving Vehicles

    Jongsang Suh;Heungseok Chae;Kyongsu Yi

  • Design of a rollover index-based vehicle stability control scheme

    Jangyeol Yoon;Dongshin Kim;Kyongsu Yi

  • Nonlinear brake control for vehicle CW/CA systems

    Kyongsu Yi;Jintai Chung

  • An investigation into differential braking strategies for vehicle stability control

    Kyongsu Yi;Taeyoung Chung;Jeontae Kim;Seungjong Yi

  • Obstacle avoidance of autonomous vehicles based on model predictive control

    J.-M. Park;D.-W. Kim;Y.-S. Yoon;H. J. Kim

  • Unified Chassis Control for Rollover Prevention and Lateral Stability

    Jangyeol Yoon;Wanki Cho;Bongyeong Koo;Kyongsu Yi

  • Unified Chassis Control for the Improvement of Agility, Maneuverability, and Lateral Stability

    Wanki Cho;Jaewoong Choi;Chongkap Kim;Seibum Choi

  • A NEW ADAPTIVE SKY-HOOK CONTROL OF VEHICLE SEMI-ACTIVE SUSPENSIONS

    Kyongsu Yi;B S Song

  • Design and evaluation of a unified chassis control system for rollover prevention and vehicle stability improvement on a virtual test track

    Jangyeol Yoon;Wanki Cho;Juyong Kang;Bongyeong Koo

  • Vehicle-to-vehicle distance and speed control using an electronic-vacuum booster

    Kyongsu Yi;Young Do Kwon

  • Design of active suspension and electronic stability program for rollover prevention

    S Yim;Youngjin Park;K Yi

Frequent Co-Authors

Dong-Wook Kim
Dong-Wook Kim Ewha Womans University
Taeyoung Lee
Taeyoung Lee George Washington University
J. Karl Hedrick
J. Karl Hedrick University of California, Berkeley
Dong-il Dan Cho
Dong-il Dan Cho Seoul National University
H. Jin Kim
H. Jin Kim Seoul National University
Naehyuck Chang
Naehyuck Chang Korea Advanced Institute of Science and Technology
Rajesh Rajamani
Rajesh Rajamani University of Minnesota
Daniel Sperling
Daniel Sperling University of Haifa
Raymond W. Novaco
Raymond W. Novaco University of California, Irvine
Genevieve Giuliano
Genevieve Giuliano University of Southern California

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in broadening their skillset related to Mechanical and Aerospace Engineering, numerous online degrees open new career pathways. Exploring specialized fields, like those in healthcare or law enforcement, can provide valuable interdisciplinary insights.

Veterans often seek programs tailored to their unique experiences; the best online speech pathology degree programs for veterans offer flexible learning options that complement technical backgrounds, enhancing communication skills and patient care.

Accelerated study paths are another option. For example, students looking to combine engineering problem-solving with communication disorders might consider the best 5 year speech pathology programs. These programs enable expedited graduation timelines, balancing rigorous academic workloads.

For those intrigued by behavioral analysis and investigative roles, understanding career data such as fbi profiler salary and job outlook can inform long-term planning beyond engineering. Developing analytical skills in engineering can translate well into this domain.

Finally, engineering students interested in supportive roles might explore different counseling degrees. These programs provide foundations for careers helping individuals, often intersecting with technology like aerospace safety and ergonomic design.

Best Scientists Citing Kyongsu Yi

Trending Scientists